The Regulatory Intelligence Paradigm

This work introduces the Regulatory Intelligence Paradigm, a formal viability-first framework for synthetic cognition that defines intelligence as the capacity of a system to maintain internal coherence and homeostatic stability under cognitive stress, rather than as task accuracy, reward maximization, or statistical optimization. The monograph formalizes the Regulatory Intelligence Paradigm as a regulatory physics for synthetic systems, specifying its geometric foundations, stability constraints, falsification criteria, and explicit non-claims. Intelligence is treated as an internally governed process constrained by homeostatic boundaries and stability conditions, rather than as an externally optimized…